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Paper Citation Record · LEDGER

Tabular Numeric Stretch Transformation

As of 13 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2608.09162.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2608.09162 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:24:55.164782Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

38 of 38 outbound references displayed

  • verified exact3
  • verified fuzzy15
  • unresolved20
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 84b42250-be9c-4270-9d56-ccb0b5981cdf · outbound

This paper cites Optuna: A Next-generation Hyperparameter Optimization Framework.

Tabular Numeric Stretch Transformation Optuna: A Next-generation Hyperparameter Optimization Framework

Reference 1

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no resolver link, observed 2026-08-11T22:24:55.055596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:24:55.055596Z digest=sha256:c9f7c1627784df398b98835b733673180994cb66ebb053948791b8858391b7f3

Observation 4e9c3ab9-ffa7-42ec-a2b7-1f84bb06d484 · outbound

This paper cites Tabnet: Attentive interpretable tabular learning.

Tabular Numeric Stretch Transformation Tabnet: Attentive interpretable tabular learning

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:24:55.946592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:24:55.059542Z digest=sha256:244682dd6d283f34011b3f4ea3ce7b936c8c49967ac905d6c8549ff259b8e5a3

Observation 0ad0208c-b98c-43ba-9f33-7982fd34855b · outbound

This paper cites An inductive bias for tabular deep learning.

Tabular Numeric Stretch Transformation An inductive bias for tabular deep learning

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-11T22:24:55.938445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:24:55.062698Z digest=sha256:f2efd9a9d96fc619a1a5752df6fbd662abab8c80840685c3cd3237f1f4726167

Observation b71088b8-40f7-42ff-9cec-520244a44bef · outbound

This paper cites Deep neural networks and tabular data: A survey.IEEE Transactions on Neural Networks and Learning Systems, 35(6):7499–7519, June 2024.

Tabular Numeric Stretch Transformation Deep neural networks and tabular data: A survey.IEEE Transactions on Neural Networks and Learning Systems, 35(6):7499–7519, June 2024

Reference 4

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no resolver link, observed 2026-08-11T22:24:55.065666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:24:55.065666Z digest=sha256:10562469d45102c99bb9b6841057dcd1a00d6dffea477156fdda2ed08b879126

Observation f61caa9d-bc3b-463d-a19f-1010bc8254c1 · outbound

This paper cites an unresolved cited work.

Tabular Numeric Stretch Transformation Unresolved cited work

Reference 5

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verified exact
raw_fallback, observed 2026-08-11T22:24:55.727738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:24:55.068758Z digest=sha256:dd65d88b5e3835fe6df3201d5c51de5e6115fbe5d3ebad3830a62b044da564d2

Observation d094d321-a459-45f1-aeb9-acbfb8de6160 · outbound

This paper cites Xgboost: A scalable tree boosting system.

Tabular Numeric Stretch Transformation Xgboost: A scalable tree boosting system

Reference 6

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no resolver link, observed 2026-08-11T22:24:55.071972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:24:55.071972Z digest=sha256:a55d3cd9eb6862b3ba2f7fa6471ddb95cb3f20acc048d138116184aa8022d049

Observation 7f4b8177-3437-4c17-b992-a6ce9184798e · outbound

This paper cites Approximation by superpositions of a sigmoidal function.Mathematics of control, signals and systems, 2(4):303–314, 1989.

Tabular Numeric Stretch Transformation Approximation by superpositions of a sigmoidal function.Mathematics of control, signals and systems, 2(4):303–314, 1989

Reference 7

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no resolver link, observed 2026-08-11T22:24:55.075089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:24:55.075089Z digest=sha256:4a1968a6ec21517f4d7562da1daceea9d790255df60487552d51a097442c74cb

Observation bf2dd1e3-66d4-4341-9159-f413d7ac83b7 · outbound

This paper cites TabArena: A Living Benchmark for Machine Learning on Tabular Data.

Tabular Numeric Stretch Transformation TabArena: A Living Benchmark for Machine Learning on Tabular Data

Reference 8

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no resolver link, observed 2026-08-11T22:24:55.077761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:24:55.077761Z digest=sha256:5426690df1ec784701ca63d4af3247049e1db7221c66bb2c6f803d08e3ce03d6

Observation e1caab3f-6633-4d8f-8aa0-7474d213d9c3 · outbound

This paper cites Revisiting deep learning models for tabular data.

Tabular Numeric Stretch Transformation Revisiting deep learning models for tabular data

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-11T22:24:55.925417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:24:55.081165Z digest=sha256:9a9375b4bf1434397c5490f2a224d4ea2a29cc3abd5ae5c4d47d21a4ba4d6d5d

Observation e06b2935-a63a-4557-a377-828848f29b39 · outbound

This paper cites On embeddings for numerical features in tabular deep learning.

Tabular Numeric Stretch Transformation On embeddings for numerical features in tabular deep learning

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:24:55.917445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:24:55.083939Z digest=sha256:cb4bfb34512d24e8c80a53c306abdf722a0973bd762546ca3d8618d29d87b175

Observation 3620fb06-fe6c-45af-b470-665c0eb7081f · outbound

This paper cites Tabm: Advancing tabular deep learning with parameter-efficient ensembling.

Tabular Numeric Stretch Transformation Tabm: Advancing tabular deep learning with parameter-efficient ensembling

Reference 11

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raw_fallback, observed 2026-08-11T22:24:55.909460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:24:55.086729Z digest=sha256:ee5f1e0ab4fd792a2106df093b3ec81b00f60d590c143aa8d9dc3447ecb64a65

Observation 5a7d7c6b-b1d4-440e-906d-e4e66a91686f · outbound

This paper cites Why do tree-based models still out- perform deep learning on typical tabular data?Advances in neural information processing systems, 35:507–520, 2022.

Tabular Numeric Stretch Transformation Why do tree-based models still out- perform deep learning on typical tabular data?Advances in neural information processing systems, 35:507–520, 2022

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:24:55.900579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:24:55.089629Z digest=sha256:a647a528110925be16f05500e2c29afab508aa2bfe1abad03ca7cf87bc3388b2

Observation 36f9561b-dcde-44d5-87ba-d2712246ebf3 · outbound

This paper cites Survey on categorical data for neural networks.Jour- nal of Big Data, 7, 04 2020.

Tabular Numeric Stretch Transformation Survey on categorical data for neural networks.Jour- nal of Big Data, 7, 04 2020

Reference 13

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no resolver link, observed 2026-08-11T22:24:55.092402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:24:55.092402Z digest=sha256:e6cfafe8f77a56dca42e97c4d8cb3da333df59281a577b86ddd04d63ff63cb81

Observation 868d1ad9-709c-4c4a-857f-86786d53234a · outbound

This paper cites Deep Residual Learning for Image Recognition.

Tabular Numeric Stretch Transformation Deep Residual Learning for Image Recognition

Reference 14

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no resolver link, observed 2026-08-11T22:24:55.095401Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T22:24:55.095401Z digest=sha256:9b743a18124415e24ff8668bd67359a55a8fbf467acd149d944c9c8301a8fad8

Observation abf5050a-eec2-4d01-b911-71a6767e4f4d · outbound

This paper cites Tabpfn: A trans- former that solves small tabular classification problems in a second.

Tabular Numeric Stretch Transformation Tabpfn: A trans- former that solves small tabular classification problems in a second

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:24:55.892364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:24:55.098421Z digest=sha256:9946861615a0cb40cf684fc42590b60e272940d6fda48d13389c4215083473b8

Observation df792898-1b2e-43fc-8877-345e770a00ec · outbound

This paper cites Accurate predictions on small data with a tabular foundation model.Nature, 01 2025.

Tabular Numeric Stretch Transformation Accurate predictions on small data with a tabular foundation model.Nature, 01 2025

Reference 16

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no resolver link, observed 2026-08-11T22:24:55.101095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:24:55.101095Z digest=sha256:6ba789eacefd4f6dffc1895652df3d23c78b13520b9eff95afb19b408be295f3

Observation cbbd3fbc-fcb7-4378-a22a-15ae58253ab1 · outbound

This paper cites Better by default: Strong pre-tuned MLPs and boosted trees on tabular data.

Tabular Numeric Stretch Transformation Better by default: Strong pre-tuned MLPs and boosted trees on tabular data

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:24:55.882911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:24:55.104052Z digest=sha256:7b3343ce18b86b98f2ddd3fe1af08f6a3e7be615d279d0b09ac2952ac66e0728

Observation 2b1e5341-271c-4484-a305-b8d20a78d008 · outbound

This paper cites Approximation capabilities of multilayer feedforward networks.Neural net- works, 4(2):251–257, 1991.

Tabular Numeric Stretch Transformation Approximation capabilities of multilayer feedforward networks.Neural net- works, 4(2):251–257, 1991

Reference 18

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raw_fallback, observed 2026-08-11T22:24:55.874643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:24:55.106967Z digest=sha256:91c78a8198b28b021e0e212e302c611df78ae3a961c42548b9d5918ecc7dcf59

Observation 64a9b35a-2564-4aed-8c36-0e1af1e026bf · outbound

This paper cites Batch normalization: Accelerating deep network training by reducing internal covariate shift.

Tabular Numeric Stretch Transformation Batch normalization: Accelerating deep network training by reducing internal covariate shift

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:24:55.866306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:24:55.109772Z digest=sha256:bee30a5f2cd710c16f814c31b2d24d827cbe7efca9ee926d766472b554fe8829

Observation fade0866-4b5d-483e-bdaf-de0b7f14e77a · outbound

This paper cites CARTE: Pretraining and Transfer for Tabular Learning.

Tabular Numeric Stretch Transformation CARTE: Pretraining and Transfer for Tabular Learning

Reference 20

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no resolver link, observed 2026-08-11T22:24:55.112645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:24:55.112645Z digest=sha256:6655a710074925d271a28f3b6209b0214b98acf04286cd90e2727e5104b719c9

Observation b48d230e-9eac-4539-a4d2-486993f1641d · outbound

This paper cites Learning multiple layers of features from tiny images.

Tabular Numeric Stretch Transformation Learning multiple layers of features from tiny images

Reference 21

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no resolver link, observed 2026-08-11T22:24:55.115524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:24:55.115524Z digest=sha256:cc512bc34870067051d2927590c669fd958a99cf0869fa248ea162006876c7d5

Observation f751534e-a106-41d5-9979-8dbdf4ae41cf · outbound

This paper cites MNIST handwritten digit database.

Tabular Numeric Stretch Transformation MNIST handwritten digit database

Reference 22

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raw_fallback, observed 2026-08-11T22:24:55.851962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:24:55.118381Z digest=sha256:cde9b56d14144e0aaab8c0cdc7ee7cc23dac2480ab7ad956534fce4504465963

Observation ed422c01-3c74-4953-add8-5d57fb835e10 · outbound

This paper cites TALENT: A Tabular Analytics and Learning Toolbox.

Tabular Numeric Stretch Transformation TALENT: A Tabular Analytics and Learning Toolbox

Reference 23

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no resolver link, observed 2026-08-11T22:24:55.121187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:24:55.121187Z digest=sha256:71fc760bbd612070fa476b04e299a3da544db00f7a6c1afdb7c159caa16100c9

Observation 1b9b435f-044f-4d9b-95b5-936dc2dd865d · outbound

This paper cites an unresolved cited work.

Tabular Numeric Stretch Transformation Unresolved cited work

Reference 24

Resolution
verified exact
doi, observed 2026-08-11T22:24:55.194473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:24:55.124388Z digest=sha256:5a7e74d9ce3a98756acdf54a3e40148a5bc031b183a16643df25c2295e9b1458

Observation f140983b-71cf-41ec-b1b0-e59d1acdda2c · outbound

This paper cites Nadaraya.

Tabular Numeric Stretch Transformation Nadaraya

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:24:55.843754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:24:55.127088Z digest=sha256:4449e6b1328e77c051a55e14e7bfd7706917a2b0f30aeea17822100f8466fc42

Observation 726871f6-3414-4ce6-ac07-08204e3a6a91 · outbound

This paper cites Scikit- learn: Machine learning in python.the Journal of machine Learning research, 12:2825–2830, 2011.

Tabular Numeric Stretch Transformation Scikit- learn: Machine learning in python.the Journal of machine Learning research, 12:2825–2830, 2011

Reference 26

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raw_fallback, observed 2026-08-11T22:24:55.827266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:24:55.132842Z digest=sha256:327c22392f6a377b7ff87b03fdedffb7ef23f678830129c920425b9686cb27b8

Observation 0626dc14-0f15-4085-9fde-a2d945c8f857 · outbound

This paper cites TabICL: A tabular foundation model for in-context learning on large data.

Tabular Numeric Stretch Transformation TabICL: A tabular foundation model for in-context learning on large data

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-11T22:24:55.818361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:24:55.135846Z digest=sha256:07d3c0105320df02b1fae6e6b3b2dcc5cec39b89fe5e60e5efc30ed9b3108886

Observation 8e720494-dd4a-463d-904b-c334900bf16e · outbound

This paper cites On the spectral bias of neural networks.

Tabular Numeric Stretch Transformation On the spectral bias of neural networks

Reference 28

Resolution
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no resolver link, observed 2026-08-11T22:24:55.138615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:24:55.138615Z digest=sha256:cfd122db2447812882364237784f933d61d317bb9ef0182d12f1b39b32ddecdd

Observation a06c0da2-e72b-4e0b-8a55-3e56f6c48711 · outbound

This paper cites Tabular Data: Deep Learning is Not All You Need.

Tabular Numeric Stretch Transformation Tabular Data: Deep Learning is Not All You Need

Reference 29

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no resolver link, observed 2026-08-11T22:24:55.141515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:24:55.141515Z digest=sha256:681aadb80c94cc55ee9017cc3640942ddacc81a95e39a0cc2b008e08083b6084

Observation 72c31a88-6a86-47d1-8ee6-7a2a55e58efb · outbound

This paper cites Why Tabular Foundation Models Should Be a Research Priority.

Tabular Numeric Stretch Transformation Why Tabular Foundation Models Should Be a Research Priority

Reference 30

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no resolver link, observed 2026-08-11T22:24:55.144740Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T22:24:55.144740Z digest=sha256:bd1742d010f73d5bc9e930d0f8ba38cf9da1c29f210409f28a5b10f891bf47c7

Observation dc8d3547-60f9-4ac4-ae35-03a3a22d7d1d · outbound

This paper cites an unresolved cited work.

Tabular Numeric Stretch Transformation Unresolved cited work

Reference 31

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raw_fallback, observed 2026-08-11T22:24:55.805285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:24:55.147786Z digest=sha256:aecc168fd2c128ab503617770711b7b9e07d6f1890c966da0acdcc2438ba4bd7

Observation c86f04da-c28b-4931-a57d-ba617327beb2 · outbound

This paper cites an unresolved cited work.

Tabular Numeric Stretch Transformation Unresolved cited work

Reference 32

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no resolver link, observed 2026-08-11T22:24:55.153680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:24:55.153680Z digest=sha256:4a527facf82a2f3b1a63beb26fead294082b3f5257ba631eabf7e78f717ff185

Observation af3414a4-76a7-434d-b616-e2a07c91e26f · outbound

This paper cites Fashion-mnist: a novel image dataset for bench- marking machine learning algorithms, 2017.

Tabular Numeric Stretch Transformation Fashion-mnist: a novel image dataset for bench- marking machine learning algorithms, 2017

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-11T22:24:55.796572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:24:55.156178Z digest=sha256:0d8714fbf1e7585a386fea9bbb454d275b60a5a0c12a25d239387c98ab44a2d8

Observation 784966a5-8e37-4b5b-b226-6290d6f519fb · outbound

This paper cites Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks.

Tabular Numeric Stretch Transformation Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks

Reference 34

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no resolver link, observed 2026-08-11T22:24:55.158966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:24:55.158966Z digest=sha256:9dbf8491aed0ed2133fa276e9477885e02e8856b6e4fe4a8ac612b6bfe534a3b

Observation 92f2ce11-29b8-4d1e-b7eb-6a952d7dfe01 · outbound

This paper cites A closer look at deep learning on tabular data.arXiv preprint arXiv:2407.00956, 2024.

Tabular Numeric Stretch Transformation A closer look at deep learning on tabular data.arXiv preprint arXiv:2407.00956, 2024

Reference 35

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no resolver link, observed 2026-08-11T22:24:55.162013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:24:55.162013Z digest=sha256:e2922d0e5e0ffa715060c09c23a870fab3791ab7b8cd3be7a8aa2ac82e0d89ce

Observation 770b38d9-2852-4e99-8ba5-56136097f05c · outbound

This paper cites optional.

Tabular Numeric Stretch Transformation optional

Reference 36

Resolution
verified exact
raw_fallback, observed 2026-08-11T22:24:55.406978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:24:55.164782Z digest=sha256:0c879a40e329eb6674a80e674be6aaf78bd0e3a04080d17d298d2a218c8f7109

Observation 8e480f65-75d7-4eaf-a0c2-c3274dc6eeda · outbound

This paper cites an unresolved cited work.

Tabular Numeric Stretch Transformation Unresolved cited work

Reference 1964

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unresolved
raw_fallback, observed 2026-08-11T22:24:55.835535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:24:55.130006Z digest=sha256:484a2489e20f403aa308e1cd0c731411d0edb5456e80543cb36fee73a0626b4f

Observation 11a438e8-2f0b-4c87-ae3e-47cddd6ae82a · outbound

This paper cites URLhttps://onlinelibrary.

Tabular Numeric Stretch Transformation URLhttps://onlinelibrary

Reference 1967

Resolution
unresolved
no resolver link, observed 2026-08-11T22:24:55.150675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:24:55.150675Z digest=sha256:9c9b394e727c81aeecdeea22a464818efe65d0b643eb3e37ae8a8e615f1d149e

Pith citing papers

No inbound Pith citation observations are available.